| Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables L Wang, E Tchetgen Tchetgen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018 | 173 | 2018 |
| In search of robust measures of generalization GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ... Advances in Neural Information Processing Systems 33, 11723-11733, 2020 | 103 | 2020 |
| Benzodiazepine use and cognitive decline in elderly with normal cognition Y Zhang, X Zhou, DH Meranus, L Wang, WA Kukull Alzheimer Disease & Associated Disorders 30 (2), 113-117, 2016 | 67 | 2016 |
| On modeling and estimation for the relative risk and risk difference TS Richardson, JM Robins, L Wang Journal of the American Statistical Association 112 (519), 1121-1130, 2017 | 65 | 2017 |
| Causal inference with confounders missing not at random S Yang, L Wang, P Ding Biometrika 106 (4), 875-888, 2019 | 62 | 2019 |
| On falsification of the binary instrumental variable model L Wang, JM Robins, TS Richardson Biometrika 104 (1), 229-236, 2017 | 40 | 2017 |
| Discrete choice models for nonmonotone nonignorable missing data: Identification and inference EJT Tchetgen, L Wang, BL Sun Statistica Sinica 28 (4), 2069, 2018 | 37 | 2018 |
| Identification and estimation of causal effects with outcomes truncated by death L Wang, XH Zhou, TS Richardson Biometrika 104 (3), 597-612, 2017 | 34 | 2017 |
| Ultra‐high dimensional variable selection for doubly robust causal inference D Tang, D Kong, W Pan, L Wang Biometrics 79 (2), 903-914, 2023 | 29* | 2023 |
| Instrumental variable estimation of the causal hazard ratio L Wang, E Tchetgen Tchetgen, T Martinussen, S Vansteelandt Biometrics 79 (2), 539-550, 2023 | 23* | 2023 |
| Mapping the genetic-imaging-clinical pathway with applications to Alzheimer’s disease D Yu, L Wang, D Kong, H Zhu Journal of the American Statistical Association 117 (540), 1656-1668, 2022 | 23* | 2022 |
| Average causal effect estimation via instrumental variables: the no simultaneous heterogeneity assumption FP Hartwig, L Wang, GD Smith, NM Davies Epidemiology 34 (3), 325-332, 2023 | 21 | 2023 |
| Adaptively exploiting d-separators with causal bandits B Bilodeau, L Wang, D Roy Advances in Neural Information Processing Systems 35, 20381-20392, 2022 | 18 | 2022 |
| Causal inference in degenerate systems: An impossibility result Y Wang, L Wang International Conference on Artificial Intelligence and Statistics, 3383-3392, 2020 | 18 | 2020 |
| Identifiability of causal effects with multiple causes and a binary outcome D Kong, S Yang, L Wang Biometrika 109 (1), 265-272, 2022 | 15* | 2022 |
| Causal analysis of ordinal treatments and binary outcomes under truncation by death L Wang, TS Richardson, XH Zhou Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 14 | 2017 |
| Coherent modeling of longitudinal causal effects on binary outcomes L Wang, X Meng, TS Richardson, JM Robins Biometrics 79 (2), 775-787, 2023 | 11* | 2023 |
| Causal inference on distribution functions Z Lin, D Kong, L Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 11 | 2023 |
| Implementation of instrumental variable bounds for data missing not at random JR Marden, L Wang, EJT Tchetgen, S Walter, MM Glymour, KE Wirth Epidemiology 29 (3), 364-368, 2018 | 11 | 2018 |
| Estimation of local treatment effects under the binary instrumental variable model L Wang, Y Zhang, TS Richardson, JM Robins Biometrika 108 (4), 881-894, 2021 | 10 | 2021 |
